diff --git a/CHANGELOG.md b/CHANGELOG.md
index b6a96cfb9a..cc9b6bbdbf 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -16,6 +16,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Refactor Datumaro format code and test code
   (<https://github.com/openvinotoolkit/datumaro/pull/824>)
 
+### Fixed
+- Fix image filenames and anomaly mask appearance in MVTec exporter
+  (<https://github.com/openvinotoolkit/datumaro/pull/835>)
+
 ## 24/02/2023 - Release v1.0.0
 ### Added
 - Add Data Explorer
diff --git a/datumaro/plugins/data_formats/mvtec/exporter.py b/datumaro/plugins/data_formats/mvtec/exporter.py
index ed704a76b3..269ee1017a 100644
--- a/datumaro/plugins/data_formats/mvtec/exporter.py
+++ b/datumaro/plugins/data_formats/mvtec/exporter.py
@@ -77,7 +77,7 @@ def apply(self):
                         labels.append(self.get_label(ann.label))
 
                 if self._save_media:
-                    self._save_image(item, subdir=osp.join(subset_name, labels[0]))
+                    self._save_image(item, subdir=subset_name)
 
                 bboxes = [a for a in item.annotations if a.type == AnnotationType.bbox]
                 if bboxes and MvtecTask.detection in self._tasks:
@@ -92,7 +92,7 @@ def apply(self):
 
                     if not osp.exists(osp.join(self._save_dir, osp.dirname(mask_path))):
                         os.mkdir(osp.join(self._save_dir, osp.dirname(mask_path)))
-                    cv2.imwrite(osp.join(self._save_dir, mask_path), mask)
+                    cv2.imwrite(osp.join(self._save_dir, mask_path), mask * 255)
 
                 masks = [a for a in item.annotations if a.type == AnnotationType.mask]
                 if masks and MvtecTask.segmentation in self._tasks:
@@ -103,7 +103,7 @@ def apply(self):
                     if not osp.exists(osp.join(self._save_dir, osp.dirname(mask_path))):
                         os.mkdir(osp.join(self._save_dir, osp.dirname(mask_path)))
                     cv2.imwrite(
-                        osp.join(self._save_dir, mask_path), masks[0].image.astype(np.uint8)
+                        osp.join(self._save_dir, mask_path), masks[0].image.astype(np.uint8) * 255
                     )
 
     def get_label(self, label_id):
diff --git a/tests/unit/test_mvtec_format.py b/tests/unit/test_mvtec_format.py
index 2129ac159f..7944ba65d1 100644
--- a/tests/unit/test_mvtec_format.py
+++ b/tests/unit/test_mvtec_format.py
@@ -1,5 +1,6 @@
 from unittest import TestCase
 
+import cv2
 import numpy as np
 
 from datumaro.components.annotation import AnnotationType, Bbox, Label, LabelCategories, Mask
@@ -226,3 +227,47 @@ def test_can_detect_mvtec(self):
             with self.subTest(path=path, task=subtask):
                 detected_formats = env.detect_dataset(path)
                 self.assertIn(subtask.NAME, detected_formats)
+
+
+class MVTecExporterTest(TestCase):
+    @mark_requirement(Requirements.DATUM_GENERAL_REQ)
+    def test_segmentation_masks_saved_as_binary_image(self):
+        source_dataset = Dataset.from_iterable(
+            [
+                DatasetItem(
+                    id="label_1/000",
+                    media=Image(data=np.ones((8, 8, 3))),
+                    annotations=[Mask(image=np.ones((8, 8), dtype=np.uint8), label=1)],
+                ),
+            ],
+            categories={
+                AnnotationType.label: LabelCategories.from_iterable(
+                    "label_" + str(label) for label in range(2)
+                ),
+            },
+        )
+
+        with TestDir() as test_dir:
+            MvtecExporter.convert(source_dataset, test_dir, save_media=True)
+            assert cv2.imread(test_dir + "/ground_truth/label_1/000_mask.png").max() == 255
+
+    @mark_requirement(Requirements.DATUM_GENERAL_REQ)
+    def test_detection_masks_saved_as_binary_image(self):
+        source_dataset = Dataset.from_iterable(
+            [
+                DatasetItem(
+                    id="label_1/000",
+                    media=Image(data=np.ones((8, 8, 3))),
+                    annotations=[Bbox(0, 0, 8, 8, label=1)],
+                ),
+            ],
+            categories={
+                AnnotationType.label: LabelCategories.from_iterable(
+                    "label_" + str(label) for label in range(2)
+                ),
+            },
+        )
+
+        with TestDir() as test_dir:
+            MvtecExporter.convert(source_dataset, test_dir, save_media=True)
+            assert cv2.imread(test_dir + "/ground_truth/label_1/000_mask.png").max() == 255